New research describes how generative models such as DALL-E 2, a novel deep learning model for text-to-image generation, could represent a promising future tool for image generation, augmentation, and manipulation in healthcare.
Artificial intelligence (AI) can reconstruct coarsely sampled, rapid MRI scans into high-quality images with similar diagnostic value as those generated through traditional MRI, according to a new study.
Harnessing cloud-native solutions helps radiologists and providers improve efficiency, enhance security, improve clinical decision-making, and control costs—all while keeping patient care the top priority.
This multimedia offering delves into defense-in-depth security capabilities of third-party certified, cloud-native solutions. Don’t miss out.
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Below, AXIS Imaging News talks to Matt Murren, CEO/CISO, CISSP-ISSMP of cybersecuity firm TrueNorth, about what private equity is looking for when valuing a practice. Most, he says, are looking very closely at back office and cybersecurity infrastructure, so imaging practice leaders need to come up to speed.
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In this on-demand webinar, experts from Change Healthcare, HITRUST, and Google Cloud Healthcare and Life Sciences discuss data privacy regulations, encryption at rest, third-party certification, and the critical nature of shared responsibility for cloud security.
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The cloud is coming to enterprise imaging. How and when it does are core components of any long-term plan.
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Healthcare organizations are prime targets for cyberattacks
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